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7.9 The ball Dirichlet problem with continuous density0897D387268D

0897D387268D

We now solve the Dirichlet problem

\[ (\mathrm{dd}^{\mathrm{c}}u)^ n=f\eta ^ n\quad \text{on }B,\qquad u=\varphi \quad \text{on }\partial B, \]

on a ball $B$, for a continuous density $f\ge 0$ and continuous boundary values $\varphi $. As for the homogeneous equation in theorem 7.7.4, the solution is the upper envelope of subsolutions. By the linear characterization of density lower bounds in proposition 7.8.3, subsolutions are stable under maxima, convex combinations and the addition of multiples of $|z|^2$ (lemma 7.9.1). Stability under maxima makes the envelope a subsolution, and stability under averages allows us to compose with the automorphisms of lemma 7.7.1 once more to bound its second differences; since a biholomorphism multiplies the density by the squared modulus of its Jacobian determinant, this factor now enters the estimate.

Lemma 7.9.1.0FF4AFFE0ED0 Let $u,v$ be locally bounded plurisubharmonic functions on $\Omega $, and let $F,G\ge 0$ be continuous functions on $\Omega $ with $(\mathrm{dd}^{\mathrm{c}}u)^ n\ge F^ n\eta ^ n$ and $(\mathrm{dd}^{\mathrm{c}}v)^ n\ge G^ n\eta ^ n$. Then, for $0\le t\le 1$ and $c\ge 0$,

\[ \bigl (\mathrm{dd}^{\mathrm{c}}((1-t)u+tv+c|z|^2)\bigr )^ n \ge \bigl ((1-t)F+tG+c\bigr )^ n\eta ^ n. \]

Moreover, $(\mathrm{dd}^{\mathrm{c}}\max \{ u,v\} )^ n\ge \min \{ F,G\} ^ n\eta ^ n$.

Proof. Let $B$ be a positive definite Hermitian matrix with $\det B=1$. By the implication from (1) to (3) in proposition 7.8.3, $L_ Bu\ge nF$ and $L_ Bv\ge nG$ in the sense of distributions. Moreover $L_ B|z|^2=\operatorname {tr}B\ge n(\det B)^{1/n}=n$ by the arithmetic–geometric mean inequality for the eigenvalues of $B$. Hence

\[ L_ B\bigl ((1-t)u+tv+c|z|^2\bigr ) \ge n\bigl ((1-t)F+tG\bigr )+c\operatorname {tr}B \ge n\bigl ((1-t)F+tG+c\bigr ), \]

and the implication from (3) to (1), applied with the continuous density $((1-t)F+tG+c)^ n$, gives the first assertion.

For the second, let $q$ be an upper test function for $\max \{ u,v\} $ at a point $x$. If $u(x)\ge v(x)$, then $q(x)=u(x)$ and $q\ge \max \{ u,v\} \ge u$ near $x$, so $q$ is an upper test function for $u$ at $x$, and the implication from (1) to (2) gives $\det \mathcal H(q)(x)\ge F(x)^ n\ge \min \{ F,G\} (x)^ n$. The case $v(x)\ge u(x)$ is symmetric. The implication from (2) to (1) now gives the assertion. $\square$

Theorem 7.9.2.A092925717E1 Let $B=B(a,R)\subset \mathbb C^ n$ with $n\ge 1$ and $R>0$. Let $f\in C(\overline B)$ be nonnegative, and let $\varphi \in C(\partial B)$ be real. There is a unique $H_{f,\varphi }\in \mathrm{PSH}(B)\cap C(\overline B)$ such that

\[ (\mathrm{dd}^{\mathrm{c}}H_{f,\varphi })^ n=f\eta ^ n\quad \text{on }B, \qquad H_{f,\varphi }|_{\partial B}=\varphi . \]

It is the pointwise supremum of the bounded plurisubharmonic functions $v$ on $B$ such that $(\mathrm{dd}^{\mathrm{c}}v)^ n\ge f\eta ^ n$ and $\varlimsup _{B\ni z\to \zeta }v(z)\le \varphi (\zeta )$ for every $\zeta \in \partial B$. If $g\in C(\overline B)$ is another nonnegative density and $\chi \in C(\partial B)$ another real boundary function, then

B8751A529320 7.9.3
\begin{equation} \| H_{f,\varphi }-H_{g,\chi }\| _{L^\infty (B)} \le \| \varphi -\chi \| _{L^\infty (\partial B)} +R^2\| f^{1/n}-g^{1/n}\| _{L^\infty (B)}. \end{equation}

If $f^{1/n}$ is the restriction of a real $C^2$ function on a neighborhood of $\overline B$ and $\varphi $ that of a real $C^2$ function on a neighborhood of $\partial B$, then $H_{f,\varphi }\in C^{1,1}_{\mathrm{loc}}(B)$.

Proof. For data of class $C^2$ (defined below) we show that the envelope of subsolutions is a locally $C^{1,1}$ solution (Steps 1–3). A stability estimate then gives a solution for continuous data (Step 4), and a comparison argument identifies every continuous solution with the envelope (Step 5).

The affine map $\tau (\xi )=a+R\xi $ carries the unit ball onto $B$. Since $|\tau (\xi )|^2-R^2|\xi |^2=2R\operatorname{Re}\sum _ j\xi _ j\bar a_ j+|a|^2$ is the real part of a holomorphic polynomial plus a constant, its complex Hessian vanishes, so $\tau $ pulls $\eta =\mathrm{dd}^{\mathrm{c}}|z|^2$ back to $R^2\eta $ and $\eta ^ n$ back to $R^{2n}\eta ^ n$. Since Bedford–Taylor products are invariant under biholomorphisms (proposition 7.2.2(5)), a function $u$ on $B$ satisfies $(\mathrm{dd}^{\mathrm{c}}u)^ n\ge f\eta ^ n$ if and only if $\xi \mapsto u(a+R\xi )$ satisfies the same inequality with the density $R^{2n}f(a+R\xi )$, whose $n$th root is $R^2f^{1/n}(a+R\xi )$; the same holds with equality. It therefore suffices to prove the theorem for the unit ball $B=B(0,1)$, with $R=1$ in (7.9.3). We write $z$ again for the variable and put

\[ \psi =|z|^2-1,\qquad F=f^{1/n}. \]

In this proof a subsolution for $(f,\varphi )$ is a bounded plurisubharmonic function $v$ on $B$ with $(\mathrm{dd}^{\mathrm{c}}v)^ n\ge f\eta ^ n$ and $\varlimsup _{B\ni z\to \zeta }v(z)\le \varphi (\zeta )$ for all $\zeta \in \partial B$. We say that the data $(f,\varphi )$ are of class $C^2$ if $F$ and $\varphi $ are restrictions of real $C^2$ functions on neighborhoods of $\overline B$ and $\partial B$, respectively.

Step 1. The envelope of subsolutions for data of class $C^2$. Assume that $(f,\varphi )$ is of class $C^2$. We first construct a subsolution with boundary values $\varphi $. Multiplying a $C^2$ extension of $\varphi $ by a smooth cutoff function for $\partial B$ in its domain which equals one near $\partial B$ (lemma 2.5.1(4)), we obtain a real $C^2$ function $b$ on $\mathbb C^ n$ with compact support and $b=\varphi $ on $\partial B$. Let $\lambda \ge 0$ bound the operator norm of the complex Hessian of $b$, and choose $c_0>\lambda $ with $(c_0-\lambda )^ n\ge \max _{\overline B}f$. The complex Hessian of $s=b+c_0\psi $ is at least $(c_0-\lambda )I$, so $s$ is plurisubharmonic (proposition 5.9.2) and $\det (s_{j\bar k})\ge (c_0-\lambda )^ n\ge f$ on $B$; by the formula for plurisubharmonic $C^2$ functions at the beginning of section 7.8, $(\mathrm{dd}^{\mathrm{c}}s)^ n\ge f\eta ^ n$ on $B$. Moreover $s$ is continuous on $\overline B$ and equals $\varphi $ on $\partial B$; in particular, $s$ is a subsolution. On the other hand, every subsolution is subharmonic (theorem 5.9.1) with boundary upper limits at most $\varphi $, so the comparison principle (theorem 3.4.5 and the remark following it) bounds it above by the harmonic extension $P\varphi $ of $\varphi $, its Poisson integral (theorem 3.1.18).

Let $H$ be the pointwise supremum of all subsolutions, so that $s\le H\le P\varphi $. By lemma 7.9.1, the maximum of finitely many subsolutions is a subsolution. By theorem 5.10.2, some countable family of subsolutions has the same upper semicontinuous regularization $H^*$ as the whole family, and its supremum equals $H^*$ almost everywhere. Taking finite maxima of $s$ and the members of this family, we obtain subsolutions $v_ j$ which increase to a function equal to $H^*$ almost everywhere, and $s\le v_ j\le P\varphi $. By theorem 7.6.1, $(\mathrm{dd}^{\mathrm{c}}v_ j)^ n\to (\mathrm{dd}^{\mathrm{c}}H^*)^ n$ weakly, and hence $(\mathrm{dd}^{\mathrm{c}}H^*)^ n\ge f\eta ^ n$. Since $P\varphi $ is continuous, $s\le H\le H^*\le P\varphi $; as $s$ and $P\varphi $ are continuous on $\overline B$ and equal $\varphi $ on $\partial B$, the function $H^*$ has boundary limits $\varphi $. Thus $H^*$ is a subsolution, so $H^*\le H$ and $H=H^*$. In particular, $H$ is a subsolution with $\lim _{B\ni z\to \zeta }H(z)=\varphi (\zeta )$ for all $\zeta \in \partial B$.

Step 2. Second differences for data of class $C^2$. We show that $H$ satisfies the hypothesis of lemma 7.7.2 on $B$. Fix a compact set $K\subset B$, and let $h_0>0$ and the automorphisms $S_{a,h}$, $a\in K$, $|h|\le h_0$, be as in lemma 7.7.1. Thus $(a,h,z)\mapsto S_{a,h}(z)$ is smooth, and holomorphic in $z$, on an open set $O$ containing the compact set $L=K\times \overline{B(0,h_0)}\times \overline B$, and so is the complex Jacobian determinant $J_{a,h}(z)=\det _{\mathbb C}DS_{a,h}(z)$ of $z\mapsto S_{a,h}(z)$. Since $S_{a,0}$ is the identity, $J_{a,0}=1$ on $B$, and hence on $\overline B$, as $z\mapsto J_{a,0}(z)$ is continuous. The open set $W=\{ (a,h,z)\in O:|J_{a,h}(z)-1|<1/2\} $ therefore contains the compact set $K\times \{ 0\} \times \overline B$, and hence all points within some positive distance of it; decreasing $h_0$, we may assume that $L\subset W$. Then $|J_{a,h}|^{2/n}=(J_{a,h}\overline{J_{a,h}})^{1/n}$ is smooth and positive on the neighborhood $W$ of $L$.

Since $S_{a,h}$ is holomorphic, $S_{a,h}^*(\mathrm dz_1\wedge \cdots \wedge \mathrm dz_ n)=J_{a,h}\, \mathrm dz_1\wedge \cdots \wedge \mathrm dz_ n$, and the conjugate identity holds for $\mathrm d\bar z_1\wedge \cdots \wedge \mathrm d\bar z_ n$. As $\eta ^ n$ is a constant multiple of $\mathrm dz_1\wedge \cdots \wedge \mathrm dz_ n\wedge \mathrm d\bar z_1\wedge \cdots \wedge \mathrm d\bar z_ n$, it follows that $S_{a,h}^*\eta ^ n=|J_{a,h}|^2\eta ^ n$. Pulling back the inequality $(\mathrm{dd}^{\mathrm{c}}H)^ n\ge F^ n\eta ^ n$ by $S_{a,h}$, and using again the invariance of Bedford–Taylor products under biholomorphisms, we obtain

\[ \bigl (\mathrm{dd}^{\mathrm{c}}(H\circ S_{a,h})\bigr )^ n \ge (F\circ S_{a,h})^ n|J_{a,h}|^2\eta ^ n =\bigl ((F\circ S_{a,h})|J_{a,h}|^{2/n}\bigr )^ n\eta ^ n. \]

Put

\[ \Phi _{a,h}=\tfrac 12\bigl ((F\circ S_{a,h})|J_{a,h}|^{2/n} +(F\circ S_{a,-h})|J_{a,-h}|^{2/n}\bigr ), \]

a nonnegative continuous function on $\overline B$. We claim that there are constants $C_1,C_2\ge 0$ such that, for all $a\in K$ and $|h|\le h_0$,

\[ \begin{aligned} \Phi _{a,h}& \ge F-C_1|h|^2 & & \text{on }\overline B,\\ \tfrac 12(\varphi \circ S_{a,h}+\varphi \circ S_{a,-h}) & \le \varphi +C_2|h|^2 & & \text{on }\partial B. \end{aligned} \]

To prove the first inequality, fix $a\in K$ and $z\in \overline B$, and consider $\gamma (h)=F(S_{a,h}(z))|J_{a,h}(z)|^{2/n}$ as a function of the real variable $h\in \mathbb C^ n=\mathbb R^{2n}$, $|h|\le h_0$. Since $S_{a,h}(\overline B)=\overline B$, $F$ is of class $C^2$ on a neighborhood of $\overline B$, and the maps $(a,h,z)\mapsto S_{a,h}(z)$ and $(a,h,z)\mapsto |J_{a,h}(z)|^{2/n}$ are smooth near the compact set $L$, the second derivatives of $\gamma $ are bounded by a constant $2C_1$ which depends neither on $a$ nor on $z$. Taylor's formula with integral remainder, applied at $h$ and at $-h$, gives $|\gamma (h)+\gamma (-h)-2\gamma (0)|\le 2C_1|h|^2$, since the first-order terms cancel. As $\gamma (0)=F(z)$, it follows that $\Phi _{a,h}(z)=\frac12(\gamma (h)+\gamma (-h))\ge F(z)-C_1|h|^2$. The second inequality follows in the same way from a $C^2$ extension of $\varphi $ to a neighborhood of $\partial B$, since $S_{a,\pm h}$ map $\partial B$ onto itself and $S_{a,0}$ is the identity. The constants depend only on $K$, $h_0$, $n$ and the $C^2$ extensions of $F$ and $\varphi $.

Now consider

\[ V_{a,h}=\tfrac 12(H\circ S_{a,h}+H\circ S_{a,-h}) +C_1|h|^2\psi -C_2|h|^2. \]

Since additive constants do not change Monge–Ampère measures, lemma 7.9.1, applied with $t=1/2$ and the quadratic term $C_1|h|^2|z|^2$, gives

\[ (\mathrm{dd}^{\mathrm{c}}V_{a,h})^ n\ge \bigl (\Phi _{a,h}+C_1|h|^2\bigr )^ n\eta ^ n\ge F^ n\eta ^ n=f\eta ^ n. \]

Since $S_{a,\pm h}$ preserve $\partial B$ and $H$ has boundary limits $\varphi $, the boundary limits of $V_{a,h}$ are $\frac12(\varphi \circ S_{a,h}+\varphi \circ S_{a,-h})-C_2|h|^2\le \varphi $. Thus $V_{a,h}$ is a subsolution, and $V_{a,h}\le H$. Evaluating at $a$, where $S_{a,\pm h}(a)=a\pm h$, and using $-1\le \psi (a)\le 0$, we obtain

\[ H(a+h)+H(a-h)-2H(a)\le 2(C_1+C_2)|h|^2 \]

for all $a\in K$ and $|h|\le h_0$; here the points $a\pm h=S_{a,\pm h}(a)$ lie in $B$.

Step 3. The equation for data of class $C^2$. Since $K$ was arbitrary and $H$ is bounded and plurisubharmonic, lemma 7.7.2 applies on $B$. Thus $H$ is continuous and locally $C^{1,1}$ on $B$, and its distributional real Hessian is a locally bounded measurable matrix $A$. Almost every $x\in B$ satisfies

\[ H(x+h)=H(x)+\nabla H(x)\cdot h+\tfrac 12h^ tA(x)h+o(|h|^2)\qquad (h\to 0), \]

and the complex Hessian $(H_{j\bar k})$ computed from $A$ is positive semidefinite almost everywhere and satisfies $(\mathrm{dd}^{\mathrm{c}}H)^ n=n!\pi ^{-n}\det (H_{j\bar k})\, \mathrm dV_{2n}=\det (H_{j\bar k})\, \eta ^ n$. Since $(\mathrm{dd}^{\mathrm{c}}H)^ n\ge f\eta ^ n$, we have $\det (H_{j\bar k})\ge f$ almost everywhere, and it remains to prove the reverse inequality.

Suppose, to the contrary, that $\det (H_{j\bar k}(x))>f(x)$ at a point $x$ at which the Taylor expansion holds and $(H_{j\bar k}(x))$ is positive semidefinite. The quadratic Taylor polynomial $Q(x+h)=H(x)+\nabla H(x)\cdot h+\frac12h^ tA(x)h$ has the constant complex Hessian $(H_{j\bar k}(x))$, which is positive semidefinite with positive determinant, hence positive definite. Choose $\varepsilon >0$ so small that the matrix $(H_{j\bar k}(x))-\varepsilon I$ is positive definite and its determinant exceeds $f(x)$. By the continuity of $f$ and the Taylor expansion at $x$, there is $r>0$ such that $\overline{B(x,r)}\subset B$, this determinant exceeds $f$ on $B(x,r)$, and $|H-Q|<\varepsilon r^2/2$ on $\partial B(x,r)$. The function

\[ q=Q-\varepsilon |z-x|^2+\varepsilon r^2/4 \]

is plurisubharmonic (proposition 5.9.2), and $(\mathrm{dd}^{\mathrm{c}}q)^ n=\det \bigl ((H_{j\bar k}(x))-\varepsilon I\bigr )\eta ^ n\ge f\eta ^ n$ on $B(x,r)$. Moreover $q<H-\varepsilon r^2/4$ on $\partial B(x,r)$, while $q(x)=H(x)+\varepsilon r^2/4>H(x)$.

Let $\widehat H=\max \{ H,q\} $ on $B(x,r)$ and $\widehat H=H$ on $B\setminus B(x,r)$. Since $q$ and $H$ are continuous and $q<H$ on the sphere $\partial B(x,r)$, we have $q<H$ on a neighborhood of this sphere. Hence $\widehat H$ is plurisubharmonic by proposition 5.9.5, and it coincides with $H$ near $\partial B(x,r)$. On $B(x,r)$, lemma 7.9.1, applied with $F=G=f^{1/n}$, gives $(\mathrm{dd}^{\mathrm{c}}\widehat H)^ n\ge f\eta ^ n$. Every other point of $B$ has a neighborhood on which $\widehat H=H$, so $(\mathrm{dd}^{\mathrm{c}}\widehat H)^ n\ge f\eta ^ n$ near it as well. Since every nonnegative test function on $B$ is a finite sum of nonnegative test functions supported in such neighborhoods (lemma 2.5.2), the inequality holds on all of $B$. Thus $\widehat H$ is a subsolution with $\widehat H(x)>H(x)$, a contradiction. Consequently $\det (H_{j\bar k})=f$ almost everywhere, that is, $(\mathrm{dd}^{\mathrm{c}}H)^ n=f\eta ^ n$. As $H$ is continuous on $B$ with boundary limits $\varphi $ (Step 1), it extends to a solution in $\mathrm{PSH}(B)\cap C(\overline B)$, which is locally $C^{1,1}$ on $B$.

Step 4. Stability and continuous data. Let $(f,\varphi )$ and $(g,\chi )$ be data of class $C^2$, with envelopes $H_{f,\varphi }$ and $H_{g,\chi }$ as in Step 1. Put $\delta =\| \varphi -\chi \| _{L^\infty (\partial B)}$ and $\sigma =\| f^{1/n}-g^{1/n}\| _{L^\infty (B)}$. By lemma 7.9.1,

\[ \bigl (\mathrm{dd}^{\mathrm{c}}(H_{g,\chi }+\sigma \psi -\delta )\bigr )^ n\ge (g^{1/n}+\sigma )^ n\eta ^ n\ge f\eta ^ n, \]

and $H_{g,\chi }+\sigma \psi -\delta $ has boundary limits $\chi -\delta \le \varphi $. It is therefore a subsolution for $(f,\varphi )$, and since $\psi \ge -1$ we get $H_{g,\chi }-\sigma -\delta \le H_{f,\varphi }$. Exchanging the roles of the two data gives (7.9.3) with $R=1$ for data of class $C^2$.

Now let $f$ and $\varphi $ be continuous. Extend $F$ to $\mathbb C^ n$ by $F(z)=F(z/|z|)$ for $|z|>1$ and convolve with mollifiers; this gives smooth functions $F_ j\ge 0$ with $F_ j\to F$ uniformly on $\overline B$ (lemma 2.5.1(1)). Similarly, extending $\varphi $ to a neighborhood of $\partial B$ by $\varphi (z)=\varphi (z/|z|)$ and mollifying, we obtain smooth functions $\varphi _ j$ on a neighborhood of $\partial B$ with $\varphi _ j\to \varphi $ uniformly on $\partial B$. The data $(F_ j^ n,\varphi _ j)$ are of class $C^2$, and by Steps 1–3 the corresponding envelopes $H_ j=H_{F_ j^ n,\varphi _ j}$ are solutions which are continuous on $\overline B$ with boundary values $\varphi _ j$. By the estimate just proved,

\[ \| H_ j-H_ k\| _{L^\infty (B)}\le \| \varphi _ j-\varphi _ k\| _{L^\infty (\partial B)}+\| F_ j-F_ k\| _{L^\infty (B)}, \]

so $(H_ j)$ is a uniform Cauchy sequence on $\overline B$. Its uniform limit $U$ is continuous on $\overline B$ and equal to $\varphi $ on $\partial B$. By proposition 7.2.6, $U$ is plurisubharmonic on $B$ and $(\mathrm{dd}^{\mathrm{c}}H_ j)^ n\to (\mathrm{dd}^{\mathrm{c}}U)^ n$ weakly; since $F_ j^ n\to f$ uniformly on $\overline B$, we obtain $(\mathrm{dd}^{\mathrm{c}}U)^ n=f\eta ^ n$.

Step 5. The envelope, uniqueness and stability. Let $U$ be a solution of the problem that is continuous on $\overline B$, for instance the one constructed in Step 4, and let $v$ be a subsolution for $(f,\varphi )$. For $\varepsilon >0$ put $v_\varepsilon =v+\varepsilon \psi $. By lemma 7.9.1, $(\mathrm{dd}^{\mathrm{c}}v_\varepsilon )^ n\ge (F+\varepsilon )^ n\eta ^ n$, while $(\mathrm{dd}^{\mathrm{c}}U)^ n=F^ n\eta ^ n$. Since $\varliminf _{z\to \zeta }(U(z)-v_\varepsilon (z))\ge 0$ for every $\zeta \in \partial B$, the comparison principle theorem 7.3.11 gives

\[ \int _{\{ U<v_\varepsilon \} }(F+\varepsilon )^ n\eta ^ n \le \int _{\{ U<v_\varepsilon \} }(\mathrm{dd}^{\mathrm{c}}v_\varepsilon )^ n \le \int _{\{ U<v_\varepsilon \} }F^ n\eta ^ n. \]

These integrals are finite, because $F$ is bounded on $B$, and $(F+\varepsilon )^ n-F^ n\ge \varepsilon ^ n$, so the Borel set $\{ U<v_\varepsilon \} $ is Lebesgue null. Hence $\max \{ U,v_\varepsilon \} =U$ almost everywhere, and the uniqueness assertion of theorem 5.9.1 gives $U\ge v_\varepsilon $ everywhere. Letting $\varepsilon \downarrow 0$, we get $U\ge v$. Since $U$ is itself a subsolution, it is the pointwise supremum of all subsolutions. In particular, any two solutions in $\mathrm{PSH}(B)\cap C(\overline B)$ coincide with this supremum, which proves uniqueness. For data of class $C^2$ the solution is therefore the envelope of Step 1, which is locally $C^{1,1}$ by Step 3.

Finally, if $(f,\varphi )$ and $(g,\chi )$ are continuous data, approximate both as in Step 4. By uniqueness, the corresponding solutions converge uniformly to $H_{f,\varphi }$ and $H_{g,\chi }$, and (7.9.3) for the approximating data of class $C^2$ passes to the limit. Undoing the affine change of variables proves all assertions of the theorem. $\square$

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